Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,455 skills from 2,407 repositories · updated 34 minutes ago
49,463 skills
- scouthuytieu/COG-second-brainEvaluate URLs and tools — check vault coverage, assess relevance, recommend save or skipOtherNo warnings★ 1.3K↓ —Also in 1 other repo
- scenario-war-roomalirezarezvani/claude-skillsUse for compound what-if questions ('what if X and Y both happen?') with major downside across functions. Models cascading scenarios with scenario_modeler.py.OtherNo warnings★ 29.3K↓ —
- yolo-trainingfcakyon/claude-codex-settingsThis skill should be used when user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a bigger model", "tune hyperparameters", or asks how to train YOLO26 for detection, instance or semantic segmentation, pose, OBB, classification, or depth.DataNo warnings★ 1.2K↓ —
- ml-paper-writingOpenRaiser/NanoResearchWrite publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.ScienceNo warnings★ 1.3K↓ —
- basinfcakyon/claude-codex-settingsBuild and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.DevOpsNo warnings★ 1.2K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ScienceNo warnings★ 1.3K↓ —
- peft-fine-tuningOpenRaiser/NanoResearchParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.ProductivityNo warnings★ 1.3K↓ —
- youtube-channelsZeroPointRepo/youtube-skillsUse when a YouTube channel is the focus: pasted @handles or channel URLs, requests to browse a creator's uploads, see what a channel has posted recently, search within a channel, or resolve a handle to a channel ID. Also use when the user names a creator and wants to explore their content or monitor their uploads. Not for creating channels or account management.OtherNo warnings★ 1.2K↓ —
- socc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM SoCC project timeline from venue fit through the two-round abstract+paper deadlines, the rebuttal, notification, camera-ready, and presentation, with backward-planning offsets for a cloud-systems measurement paper and honest handling of the two-rounds-per-year cadence and the no-cross-round-resubmission rule.ProductivityNo warnings★ 1.4K↓ —
- os-ask-simplekharmanskyi/open-stepsALWAYS invoke this skill before asking the user any technical question or offering options, and whenever they ask to be asked in plain words - "ask simple", "ask me simply", "ask me in plain words" - in any language. ALWAYS invoke it too when the user asks for your view on a technical choice: whether it is worth doing, more than the problem needs, or replaceable by something simpler, and which option you would take. Invoke it even when the code makes the answer look obvious: the checks are what make the answer more than a guess. Rewrites the question in plain words and always ends with one marked recommendation. A structural choice first passes six checks, shown as a table: effort now, simpler substitute, extra work later, lock-in, over-engineering, easy to undo. Doing nothing is always weighed.EngineeringNo warnings★ 1.3K↓ —
- doc-i18nYunYouJun/valaxyBilingual documentation translation and synchronization for path-based i18n projects. This skill should be used when users need to translate, compare, or synchronize documentation between Chinese and English versions. Triggers include requests to translate docs, sync i18n, compare zh/en docs, translate this page, check translation coverage, or any task involving bilingual Markdown documentation alignment. Supports both zh-to-en and en-to-zh translation directions.ProductivityNo warnings★ 1.1K↓ —
- os-step-by-stepkharmanskyi/open-stepsALWAYS invoke this skill when you need the user to act - run a command, paste a secret, click, approve - and whenever they ask how to do something or say they do not know what to do: "step by step", "walk me through it", "what do I do", "what should I do", "I don't understand what to do", "explain what I need to do", in any language. Picking which task comes next is os-whats-next; this skill is for doing the thing in front of you. First earn the ask: try it yourself, find another route, shrink it to the part only they can do. Then one action per step, commands labelled by what they touch, no jargon. Commands are single lines that prompt for any value - typing hidden for secrets - and confirm in plain words. Afterwards verify their step.ProductivityNo warnings★ 1.3K↓ —
- create-prfcakyon/claude-codex-settingsThis skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".EngineeringNo warnings★ 1.2K↓ —
- managing-upmohitagw15856/pm-claude-skillsWork more effectively with your manager — communicate, align, escalate, and get what you need. Use when asked how to manage up, work better with a boss, get buy-in from your manager, escalate without overstepping, or prepare to raise something with leadership. Produces a managing-up plan — what your manager needs and how they operate, how to frame your ask, what to bring vs. escalate, and the message.PlanningNo warnings★ 1.5K↓ —
- md-reviewalirezarezvani/claude-skillsUse when converting a markdown code review with diff blocks and severity callouts into a two-column HTML review. Parses diffs with diff_parser.py and annotations with annotation_extractor.py; requires a named reviewer.EngineeringNo warnings★ 29.3K↓ —
- run-qafcakyon/claude-codex-settingsThis skill should be used when user asks to "run QA", "verify real playback", "test provider connections", or "check website, extension or Android flows" with tracked journeys.TestingNo warnings★ 1.2K↓ —
- pnas-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which pnas-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for PNAS (Proceedings of the National Academy of Sciences). Routes — it does not replace — the specialized skills.ProductivityNo warnings★ 1.4K↓ —
- pnas-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after PNAS reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.OtherNo warnings★ 1.4K↓ —
- os-whats-nextkharmanskyi/open-stepsALWAYS invoke this skill when the user asks what to do next, what is left, or what is blocked - "what's next", "what now", "what should we work on", "anything I can do" - in any language. This skill picks the next piece of work; when the user asks HOW to do a thing or says they do not understand what to do, that is os-step-by-step. Reads the last report, local changes, open pull requests and always the backlog. First finishes what is finished: verified-ready pull requests merge in the same pass. Then sorts the rest into doable-alone and needs-you, ending with one recommended next task in plain words - what it closes or unblocks. Never invents tasks.ProductivityNo warnings★ 1.3K↓ —
- research-competitors-edge-casesgooseworks-ai/goose-skillsStep of the research-competitors playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-competitors instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- oma-observabilityfirst-fluke/oh-my-agentDesign or troubleshoot telemetry, SLOs, and incident diagnostics. Route to the relevant signal, system boundary, or vendor guide.DevOpsNo warnings★ 1.4K↓ —Also in 1 other repo
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivityNo warnings★ 1.3K↓ —
- convex-backendCloudAI-X/claude-workflow-v2Convex backend development guidelines. Use when writing Convex functions, schemas, queries, mutations, actions, or any backend code in a Convex project. Triggers on tasks involving Convex database operations, real-time subscriptions, file storage, or serverless functions.DataNo warnings★ 1.4K↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivityNo warnings★ 1.3K↓ —
make-content-source-to-units
gooseworks-ai/goose-skills
OtherUpdated Oct 27, 2026
From the author
Step of the make-content playbook: mines one finished asset into scored quotable units and maps a different lead unit to each platform. Run make-content instead; not for direct use.
Install
npx skills add gooseworks-ai/goose-skills --skill make-content-source-to-units -a claude-code
Installs to .claude/skills/make-content-source-to-units/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
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Provenance77
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Files (2)
- SKILL.md
- skill.meta.json